
Methodological and reporting quality of machine learning studies on cancer diagnosis, treatment, and prognosis.
Evaluating machine learning in oncology: 89% low bias, but reporting gaps persist. 📊🔍
Discover the newest research about AI innovations in Research.

Evaluating machine learning in oncology: 89% low bias, but reporting gaps persist. 📊🔍

EMC Healthcare in Indonesia is upgrading to an AI-driven EMR system, enhancing patient care and clinical efficiency. 🏥🤖

AI’s Impact on Perinatal Depression in LMICs: A Systematic Review 📊🤰

Atropos Health partners with Ontada to enhance oncology data use, improving patient care and treatment protocols. 📊💉

Evaluating LLMs in Aerospace Medicine: ChatGPT-4 scored 70% accuracy, RAG LLM 85%. Potential risks identified. 🚀📊

AI-driven MSI profiling in lung cancer shows 0.52% prevalence, high TMB, and potential for personalized immunotherapy. 📊🔬

National support is essential for scaling AI in healthcare. The NHS AI Lab’s evaluation highlights progress and ongoing challenges. 🤖🏥

Machine learning predicts Newcastle Disease Virus antigenic distance with 72.3% accuracy, enhancing vaccine selection efficiency. 🤖💉
New AI tool, MindGlide, assesses treatment effectiveness for multiple sclerosis using MRI scans. Promising advancements in patient care. 🧠💡

Revolutionizing Vital Sign Monitoring: Comestai App’s Non-contact Methodology 📱💓